[Remote] Senior Analyst, Data Engineer
Note: The job is a remote job and is open to candidates in USA. Lincoln Electric is a global manufacturing enterprise investing in its cloud data and analytics platform. The Senior Analyst, Data Engineer will design, build, and scale enterprise data pipelines using Microsoft technologies, supporting analytics, reporting, and operational insights across manufacturing, supply chain, and operations. The role focuses on provisioning data into Bronze and Silver layers, ensuring data quality, and collaborating with analytics and business stakeholders.
Responsibilities
- Design, build, and maintain scalable data pipelines using Azure Synapse Analytics, Azure Data Factory, and/or Microsoft Fabric
- Ingest data from multiple enterprise sources (ERP, MES, operational databases, APIs, flat files, cloud sources) into the Bronze layer
- Transform and curate data into the Silver layer, applying standardization, cleansing, and enrichment logic
- Implement data quality checks, validation rules, and monitoring to ensure trusted, production-ready datasets
- Develop and optimize SQL and Spark (PySpark / Spark SQL) workloads for performance and cost efficiency
- Collaborate closely with BI developers, analytics engineers, data scientists, and business stakeholders
- Follow enterprise standards for data security, governance, and access control
- Contribute to documentation, architectural patterns, and platform improvement initiatives
Skills
- 3–5 years of professional experience as a Microsoft Data Engineer or similar role
- Hands‑on experience with Azure Synapse Analytics (SQL pools and/or Spark)
- Experience building data pipelines with Azure Data Factory or equivalent tooling
- Practical experience implementing Medallion Architecture, specifically Bronze and Silver layers
- Strong SQL skills and experience using Spark / PySpark
- Experience working with Azure Data Lake Storage Gen2
- Experience with Microsoft Fabric (Lakehouse, Warehouses, Notebooks, Dataflows Gen2)
- Manufacturing or industrial domain experience (ERP, MES, supply chain, operations data)
- Exposure to tools such as Azure DevOps or GitHub Actions**
- Experience working in a large, enterprise environment
Benefits
- Bonus potential
- Comprehensive benefits package (health, retirement, paid time off)
- Clear growth path within data engineering and analytics
- Collaborative culture with strong leadership support for data-driven decision making
Company Overview
Company H1B Sponsorship